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データサイエンティスト

楽天グループ株式会社

  • Data Science
  • SQL
  • Python
  • Machine Learning
  • NLP
  • LLM (Large Language Model)
  • Predictive Modeling
  • Conversational AI
  • Experimental design
  • AI Companion

AIコンパニオンとAIコンポーザーの開発に従事するデータサイエンティストを募集しています。ユーザーの相互作用を分析し、AIアシスタントの品質と価値を向上させるため、データ駆動型の洞察を生成し、製品開発を導く重要な役割を担います。アシスタントのインタラクションを評価し、改善機会を特定することが主な業務となります。

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Analytics Engineer

株式会社マネーフォワード

  • Statistical Analysis
  • SQL
  • financial data
  • marketing
  • AI
  • AWS
  • Python
  • GCP
  • GitHub
  • BigQuery

This position is employed by Money Forward, Inc. and seconded to Money Forward Home Co., Ltd., with evaluation systems and benefits aligned with Money Forward. At the Data Forward Department, our mission is to 'Drive products and businesses forward with data and AI.' As our services grow, both our user base and business potential are expanding rapidly. In this environment, expanding and stabilizing our data utilization infrastructure is an urgent priority. We are looking for individuals who can work with us toward this mission. You will play a vital role in driving data utilization for 'Money Forward ME' and accelerating business growth. Working closely with business departments such as marketing and sales, you will be responsible for everything from analysis design to the planning and execution of measures to solve business challenges. Specifically, you will lead the development of a beneficial data mart environment (datasets) within our internal analysis platform for members across all job functions related to 'Money Forward ME.' Beyond supporting data-driven decision-making, we expect you to contribute to the product development itself through the power of data. Through data, you can maximize the value of 'Money Forward ME' and accelerate business growth alongside numerous stakeholders. Since data is at the core of our decision-making, building and operating the data infrastructure is a critical role that directly supports the growth of the business. Furthermore, your impact will not be limited to data analysis and infrastructure management; you will also have the opportunity to engage in product feature development itself, such as integrating AI functionalities. You will be proactively involved in the entire process, from environment construction to operation and continuous improvement. Business commitment: A strong drive to go beyond technical implementation, contributing to business and product problem-solving through data and persevering until results are delivered. Passion for change and improvemen

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機械学習エンジニア

UiPath株式会社

  • statistics
  • Probability
  • AI
  • Python
  • Linux
  • C++
  • Machine Learning
  • PyTorch
  • TensorFlow
  • Rust

機械学習モデルの開発、大規模実験の設計と実行、クロスファンクショナルチームとの協働、最新AI研究の製品への戦略的導入などを行います。AIソリューションの実装、性能benchmarkの実施、技術チームの指導や育成も主要な業務となります。

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